Abstract | ||
---|---|---|
In car driving support systems and mobile robots, it is important to understand three-dimensional environment widely at once. In this paper, we use a fish-eye camera as a sensor to measure three-dimensional (3D) environments. This camera can take a wide-range and distortional image and can be easily mounted on cars. We propose a method for reconstructing 3D environment using fish-eye images based on Epipolar-Plane Image (EPI) analysis. This method enables easy and stable matching of feature points. The effectiveness of the proposed method is verified by experiments. |
Year | DOI | Venue |
---|---|---|
2012 | 10.20965/jrm.2012.p0677 | JOURNAL OF ROBOTICS AND MECHATRONICS |
Keywords | Field | DocType |
fish-eye lens camera, three-dimensional (3D) measurement, Epipolar-Plane Image (EPI) | Computer vision,Computer science,Camera resectioning,3d measurement,Artificial intelligence | Journal |
Volume | Issue | ISSN |
24 | 4 | 0915-3942 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kenji Terabayashi | 1 | 24 | 7.73 |
Toru Morita | 2 | 2 | 0.74 |
Hiroya Okamoto | 3 | 0 | 0.68 |
Kazunori Umeda | 4 | 116 | 29.88 |